Provide commercial
autonomous driving solutions
Data Collection
Data Annotation
Model training
Simulation Platform
Data Management
High-precision Map
Data Collection
Based on Ontime Data Collects, efficient retention, extraction, and analysis of intelligent driving vehicle operation and road environment data
Data Annotation
Our self-built perception model, embedded in Ontime Data Encoder, significantly enhances the ability of automated annotation, achieving a pre-annotation recall and accuracy rate of over 95% in 2D/3D object detection, 3D instance segmentation, and LiDAR-camera fusion
Model Training
The comprehensive Ontime AI Trainer platform integrates data container management, model development, model training, and model evaluation, providing support for the research and iteration of automaker autonomous driving solutions
Simulation Platform
The Ontime NexSim simulation scenario tool is dedicated to providing high-quality simulation scenarios and data for the development and testing of automaker autonomous driving technology. Based on real traffic environments and behaviors, it combines advanced virtual reality technology and machine learning algorithms
Data Management
The Ontime Data Management platform empowers data generation, retention, extraction, and analysis, enhancing the value of data assets and the efficiency of perceptual technology capabilities
High-precision Map
Ontime MapNet integrates data collection, joint vehicle-cloud updates, and multi-layer fusion into a unified solution dedicated to providing efficient, low-cost, and high-quality high-precision map updates for automakers, map providers, and municipal governments
Smart transportation
Participate in the construction and operation of smart transportation infrastructure, and build a VaaS platform that connects the entire industry
